Char Siu

Char Siu — CS2 Stats

AU76561198330919259[U:1:370653531]Steam profile ↗✓ No bans

296Tracked matches23%Win rate2025Tracked since
758Hours in CS38Hrs last 2 wks
CSDB Rating2.2 Learning
Premier CS Rating5,000Light Blue band · top ~78.8% of ranked players (population est.)
CSDB Leaderboard#43985 of 57465 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=1,554), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate33.4%39.9%41.5%8.1% short
Shot accuracy0.1%6.3%9.1%8.9% short
Kill/death ratio0.850.910.980.13 short
Match win rate40.0%42.1%43.7%3.7% short

This profile sits below the typical Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGChar SiuPREMIER5,000 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim18
Positioning26
Utility57

0–100 skill scores via Leetify.

Recent form

COLD42571Last 10042%Win rateWLLWLLLLWL

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Aim1.8
Aggression0.0
Utility5.7
Positioning2.6
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 60% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 611ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim1.8
Positioning2.6
Utility5.7
Mechanics3.4
Opening Duels0.0
Win Impact0.0

Composite 2.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.04
Reaction time604ms−55ms
first ⅓ avg 660ms → last ⅓ avg 604ms
Headshot accuracy9.8%−0.5%
first ⅓ avg 10.3% → last ⅓ avg 9.8%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.18Best rating — inferno 13–5
132Biggest win — vertigo
8Longest win streak
514In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 67% over 6ancientWeakest map · 14% over 21
MapGradePlayedRecordWin rateAvg rating
dust2C28121643%-0.00
ancientD2131814%-0.03
mirageB178947%-0.04
anubisB137654%-0.02
cacheD93633%-0.04
infernoS64267%-0.02
train21150%0.03
nuke220100%-0.04
vertigo220100%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,534Lifetime kills
0.85K/D
1,024Matches
40.0%Match win rate
33.4%Headshot %
0.1%Shot accuracy
1,532MVPs
405Hours (in match)
1,404Bombs planted
193Bombs defused

Most-used weapons

Lifetime map wins

5,464dust2
678inferno
337nuke
297train
104vertigo
29office
3assault

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

9.3%Headshot accuracy
25.8%Accuracy (enemy spotted)
25.8%Spray accuracy
65.4%Counter-strafing
11.9°Preaim
611msReaction time
11.6%T opening success
23.5%CT opening success
0.65Enemies flashed / flash
2.3%Flash assists
7.17HE damage / grenade
9.38Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.2741% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 11.5913% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

14% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–11-0.057%29 Aug
mirage11–13-0.0814%29 Aug
ancient2–13-0.118%27 Aug
cache13–40.015%27 Aug
dust24–13-0.039%27 Aug
cache8–13-0.059%26 Aug
cache11–13-0.038%26 Aug
cache6–13-0.039%26 Aug
mirage13–7-0.0413%25 Aug
mirage7–13-0.127%25 Aug
dust213–9-0.015%25 Aug
mirage11–13-0.0817%24 Aug
ancient13–70.004%24 Aug
cache7–13-0.1010%24 Aug
dust28–13-0.066%24 Aug
ancient13–16-0.077%24 Aug
dust25–130.067%24 Aug
dust27–13-0.0210%24 Aug
anubis4–13-0.0413%24 Aug
ancient11–13-0.0612%23 Aug
ancient12–160.018%22 Aug
dust210–13-0.007%22 Aug
dust211–13-0.0420%21 Aug
anubis12–16-0.057%21 Aug
mirage11–13-0.034%21 Aug
dust211–13-0.0714%20 Aug
mirage8–2-0.0311%20 Aug
dust213–80.0416%16 Aug
ancient11–13-0.067%14 Aug
mirage7–13-0.093%14 Aug
anubis11–130.0414%14 Aug
ancient4–12-0.0013%14 Aug
train8–130.0318%12 Aug
train13–30.0312%12 Aug
dust29–13-0.055%11 Aug
ancient8–13-0.064%11 Aug
dust213–60.059%11 Aug
ancient10–13-0.0010%9 Aug
ancient13–10-0.045%9 Aug
anubis5–13-0.118%9 Aug
anubis13–8-0.0413%8 Aug
dust26–13-0.0410%8 Aug
anubis6–13-0.0311%8 Aug
dust26–10.040%8 Aug
ancient11–13-0.042%8 Aug
mirage8–13-0.050%7 Aug
inferno13–10-0.0210%7 Aug
cache13–10-0.0214%7 Aug
dust213–8-0.035%7 Aug
cache13–10-0.043%7 Aug
inferno13–10-0.082%6 Aug
anubis13–30.010%6 Aug
inferno16–14-0.054%4 Aug
anubis13–50.094%4 Aug
inferno11–13-0.0512%3 Aug
anubis7–13-0.0512%2 Aug
inferno9–13-0.107%2 Aug
ancient13–11-0.0013%2 Aug
mirage11–13-0.077%2 Aug
nuke13–6-0.026%31 Jul
dust213–40.005%31 Jul
mirage13–7-0.0016%31 Jul
mirage15–15-0.048%31 Jul
mirage13–5-0.0718%30 Jul
ancient4–13-0.026%30 Jul
dust211–13-0.011%29 Jul
dust213–70.0014%29 Jul
vertigo13–9-0.0411%29 Jul
vertigo13–20.059%29 Jul
nuke13–6-0.0611%27 Jul
dust213–7-0.044%27 Jul
ancient10–13-0.069%25 Jul
inferno13–50.1815%25 Jul
ancient10–130.009%25 Jul
dust213–70.0911%25 Jul
anubis13–30.0414%25 Jul
mirage7–130.0311%25 Jul
cache10–13-0.037%25 Jul
ancient6–13-0.053%25 Jul
ancient5–13-0.027%25 Jul
anubis13–10-0.0620%25 Jul
dust213–90.0714%23 Jul
ancient0–13-0.020%22 Jul
anubis13–4-0.0311%22 Jul
dust29–130.0311%19 Jul
mirage13–6-0.053%19 Jul
ancient9–13-0.054%19 Jul
mirage13–7-0.0311%18 Jul
dust210–13-0.0310%18 Jul
mirage16–12-0.079%17 Jul
anubis13–110.009%17 Jul
dust23–13-0.0218%17 Jul
ancient9–130.0510%17 Jul
dust213–6-0.0113%15 Jul
cache11–13-0.088%14 Jul
mirage13–110.099%12 Jul
ancient9–13-0.0412%12 Jul
dust28–130.0414%12 Jul
dust27–13-0.0315%12 Jul
dust27–13-0.0319%12 Jul

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →